Volume 17 Issue 1
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BAI Siqi, ZOU Xiaorong, ZHANG Peng, DING Peng. Study on spatial heterogeneity effect of environmental factors on distribution of Chilean jack mackerel in Southeast Pacific Ocean[J]. South China Fisheries Science, 2021, 17(1): 17-24. DOI: 10.12131/20200172
Citation: BAI Siqi, ZOU Xiaorong, ZHANG Peng, DING Peng. Study on spatial heterogeneity effect of environmental factors on distribution of Chilean jack mackerel in Southeast Pacific Ocean[J]. South China Fisheries Science, 2021, 17(1): 17-24. DOI: 10.12131/20200172
shu

Study on spatial heterogeneity effect of environmental factors on distribution of Chilean jack mackerel in Southeast Pacific Ocean

  • 1.

    College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

  • 2.

    National Engineering Research Center for Oceanic Fisheries/Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education/Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China

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  • Received Date: August 15, 2020
  • Revised Date: October 24, 2020
  • Accepted Date: November 04, 2020
  • Available Online: December 04, 2020
    Graphical Abstract
    • Abstract

  • Based on the fishery data of Chilean jack mackerel (Trachurus murphyi) in the Southeast Pacific Ocean from 2012 to 2018, the geographically weighted regression (GWR) model was applied to analyze the spatial heterogeneity relationship between fishing ground distribution and environmental factors. The results show that the goodness of fit (R2) between CPUE and sea surface temperature (SST), chlorophyll a concentration (Chl-a), sea surface temperature anomaly (SSTA), sea surface height anomaly (SSHA), gear depth were 0.54, 0.48, 0.74, 0.72 and 0.46, respectively. The adjusted R2 between CPUE and SST, Chl-a, SSTA, SSHA, gear depth were 0.34, 0.36, 0.58, 0.59 and 0.42, respectively. The Akaike information criterion (AIC) between CPUE and SST, Chl-a, SSTA, SSHA, gear depth were 1 022.08, 2 321.95, 2 268.07, 2 201.93 and 2 675.07, respectively. SSTA is more influential than the other environmental factors on the spatio-temporal distribution of Chilean jack mackerel fishing grounds in the Southeast Pacific Ocean. The GWR model is used to explore the "hot spot" zones and can provide a scientific basis for the production of Chilean jack mackerel.

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    • References (42)
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